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Contributions to Infrastructure Deployment and Management in Vehicular Networks

Lamb, Zachary W
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394450556027

Abstract Details

2019, PhD, University of Cincinnati, Engineering and Applied Science: Computer Science and Engineering.
Vehicular ad-hoc Networks (VANETs) are an integral part of intelligent transportation systems (ITS) that facilitate communications between vehicles and the Internet. Over the years, rapid progress of vehicular network research has been hindered only by limited infrastructure and costs associated with infrastructure deployment. Early efforts emphasized reliance on specialized Roadside Units (RSU), which would facilitate communications between vehicles and the Internet. As communications technology has progressed well beyond the original Dedicated Short Range Communication (DSRC) standard, the challenge of optimal infrastructure planning, deployment, and management has remained. With researchers shifting their focus to 5G in place of DSRC, the task of defining an optimal deployment of infrastructure has become prominent. For mmWave high bandwidth 5G, the communication range is limited to only a few kilometers. Since vehicles are mobile in nature, and often travel at high speeds, successful integration of vehicular networking and 5G would require carefully placed RSUs or base stations. The monetary costs of deploying a dense network of communication infrastructure will be high if full-coverage of roadways is desired. This is especially true if the network operates with only 5G technologies. The limited communication range of 5G would require a large number of supporting base stations or RSUs. A more realistic approach would be to place enhanced nodes in high traffic areas that encounter a large number of vehicles and place lower cost nodes in lower traffic areas. To evaluate potential deployment sites, we leverage GPS trace data to predict the context of a given site and measure the volume of vehicular traffic encountered. Additional metrics, such as average speed of a vehicle traveling through a site and volume by time of day can are also be measured for various communication ranges. Modern networking standards are incorporating Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) technologies to promote cloud integration. Semi and fully autonomous vehicles are projected to generate vast amounts of data and require substantial processing resources. To alleviate the load of back-end servers and follow suite with the cloud integration of SDN and NFV, we present an architecture that could incorporate mobile edge computing into vehicular networks. The additional hardware of edge servers could be deployed alongside networking infrastructure. The deployment of this infrastructure ties directly into the scheme we propose to target deployment sites that encounter high volumes of traffic. Moving the computational resources closer to the source of the data can greatly reduce latency and network congestion.
Dharma Agrawal, D.Sc. (Committee Chair)
Gowtham Atluri, Ph.D. (Committee Member)
Je-Hyeong Bahk, Ph.D. (Committee Member)
Raj Bhatnagar, Ph.D. (Committee Member)
Rui Dai, Ph.D. (Committee Member)
148 p.
Computer Science
VANET; Clustering; Data Mining; Edge Computing

Recommended Citations

Citations

  • Lamb, Z. W. (2019). Contributions to Infrastructure Deployment and Management in Vehicular Networks [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394450556027

    APA Style (7th edition)

  • Lamb, Zachary. Contributions to Infrastructure Deployment and Management in Vehicular Networks. 2019. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394450556027.

    MLA Style (8th edition)

  • Lamb, Zachary. "Contributions to Infrastructure Deployment and Management in Vehicular Networks." Doctoral dissertation, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394450556027

    Chicago Manual of Style (17th edition)

ucin1561394450556027
189
© 2019, some rights reserved.Creative Commons License Contributions to Infrastructure Deployment and Management in Vehicular Networks by Zachary W Lamb is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.